“Much of what passes for AI is simply neural networks, basically the same ideas as in the 1980’s but upgraded with various bells and whistles like new activation functions, summarising levels, and feedback. Even the most sophisticated systems (like the GPT systems) lack novel ideas. Aaron’s work aims to push beyond this, to set an agenda for actual intelligent systems (so called artificial general intelligence, AGI) that considers more than pattern recognition and synthetic language construction. This is quite different from what is pursued by companies, and most computing departments. The work is important, and may underlie the next steps forward in artificial intelligence.”